Duplicate or missing events
Identify errors in the GTM configuration, redundant tags or faulty data layer pushes.

Analytics & Tracking
Web analytics and tracking with GA4 and Google Tag Manager: validate data quality, capture conversions and create a reliable basis for decisions.
Request a tracking audit ↗︎HOW WE REVIEW
Reliable data depends on a clean handoff between the DataLayer, consent controls, tag management and reporting, without duplicate counts or blind spots.
Analytics and tracking are useful when you cannot reliably assess enquiries, sales or the impact of your marketing channels.
Identify errors in the GTM configuration, redundant tags or faulty data layer pushes.
Resolve faulty cross-domain tracking, missing attribution data or breaks in the purchase journey.
Investigate significant differences between GA4, Google Ads and the backend system (CRM).
The results make decisions and next steps traceable. We agree on the exact scope before starting.
| Deliverable | What you receive |
|---|---|
| Measurement plan | Definition of macro and micro conversions, event names, custom dimensions and data layer variables. |
| GTM & GA4 architecture | Clean up Google Tag Manager and set up properties, data streams and cross-domain tracking. |
| Consent & privacy setup | Minimise data loss while meeting privacy requirements (DSG/GDPR). |
| Tracking validation | Verify data integrity before the live deployment. |
We combine a measurement plan, technical event collection, consent settings and validation to create a reliable basis for analysis.
Define the architecture of events to capture and create precise requirements for server-side or client-side data provision.
Consolidate existing tags, set up trigger conditions and configure GA4, including attribution settings, data retention and integrations.
Implement correct tag-firing rules based on user consent. Evaluate server-side tracking for better data control.
Systematically check data layer values and event handovers against defined use cases in the test environment. We also group identifiable referrals from ChatGPT, Perplexity, Gemini, Claude and Copilot in a dedicated GA4 channel group. This lets you compare entry visits and recorded conversions; missing referrers and recommendations without a click remain unobservable.
The technical review does not replace legal privacy advice. We clarify consent requirements and responsibilities with your team.
Server-side tracking can improve control over shared data and centralise processing. Whether it is worthwhile depends on your platform, integrations and maintenance costs. It neither replaces required consent nor prevents all data loss.
We align the measurement plan, consent settings and data sharing with your requirements. This includes appropriate triggers, minimal event parameters and documented checks. Legal questions and the privacy policy should be reviewed with your responsible specialist.
Partly. We can group identifiable referrals from ChatGPT, Perplexity, Gemini, Claude and Copilot and analyse their enquiries or sales. Visits without a transmitted referrer cannot be attributed reliably.
We assess which connections between your forms, CRM and advertising platforms are technically feasible and meet your privacy requirements. This helps distinguish qualified enquiries and sales from simple form submissions.
Briefly describe your starting point. Together we identify the most useful next step.